Reading Time: 3 minutes Hello Readers! We are again back with a new interesting topic related to kibana. In this blog, we will see how to join two indices in kibana. As we all know Kibana is an open-source data visualization and exploration tool developed by Elastic. It is part of the Elastic Stack, which also includes Elasticsearch and Logstash. Kibana is design to work with Elasticsearch and allows Continue Reading
Reading Time: 3 minutes Hello Readers!! We are again back with a new interesting topic with this blog. While using kibana some of you may have faced an issue of unavailable values in Kibana for index fields with dot notations. So In this blog, we will see why we face this problem and what we can do to resolve this issue. Why do we not get data in Fields Continue Reading
Reading Time: 6 minutes Hello Readers!! In this blog, we will see how we can send GitHub commits and PR logs to Elasticsearch using a custom script. Here we will use a bash script that will send GitHub logs to elasticsearch. It will create an index in elasticsearch and push there the logs. After sending logs to elasticsearch we can visualize the following github events in kibana:- 1. GitHub Continue Reading
Reading Time: 3 minutes Hello Readers! In this blog, we are going to see how we can analyze Jenkins build logs using the ELK stack. As Jenkins is known for its automation and we have a number of its builds logs. Here analysis of Jenkins build logs plays a huge role. So, I will explain and show you how we can monitor and analyze Jenkins build logs in our Continue Reading
Reading Time: 4 minutes Introduction Hi everyone! Today in this blog we are going to learn how to run Filebeat in a container environment. For a quick understanding – Set-up In this setup, I have an ubuntu host machine running Elasticsearch and Kibana as docker containers. I will bind the Elasticsearch and Kibana ports to my host machine so that my Filebeat container can reach both Elasticsearch and Kibana. Continue Reading
Reading Time: 3 minutes ELK Stack or more recently called Elastic Stack, is a combination of three open source projects – Elasticsearch, Logstash and Kibana – all developed by Elastic and used for storing and analyzing logs. Even though these are three separate products, they compliment each other to the extend that they have come to be recognised as one. Why Log Analysis? Before getting to know more about Continue Reading
